English AI

Course overview

English AI includes the core modules English and AI Level 1 - AI and Prompting. The training content encompasses advanced language skills for the professional environment. Focus areas include formal written correspondence, negotiation skills, and the presentation of complex issues. Mastery of English enables smooth international communication and a better understanding of specialized vocabulary in areas such as finance, marketing, or project management. The language is also advantageous in technical fields where terminology often originates from English. Grammar and Language Feel Grammar structures and advanced sentence constructions will be learned or refreshed according to individual learning levels to negotiate confidently in English. Listening and reading comprehension through job-related exercises and content will train the language feel. Practice in class and group settings will promote free speaking in English to reduce inhibitions during spontaneous conversations. Expertise in Artificial Intelligence In addition, expertise in the field of Artificial Intelligence will be conveyed, which is becoming increasingly relevant in the current job market. Similar to English, these skills are increasingly expected. English proficiency proves to be a crucial success factor. Many leading documentation, professional publications, and code libraries on AI are written exclusively in English. Thus, the language also fosters the ability to continuously educate oneself in the long term. Learning Content in Artificial Intelligence The learning content for Artificial Intelligence covers the fundamentals of machine learning, ethical issues, data protection regulations, and practical applications in companies. An important component is prompt engineering, which involves the precise formulation of input prompts for AI models. Since most language models have primarily been trained on English-language datasets, prompts in English demonstrably lead to higher quality results. Software Tools and Platforms Even when using software tools and platforms, terminology in English forms the global standard. Understanding and the learning process of technical and methodological terms are facilitated by language skills. Thus, building competencies in English specifically complements the AI module, as proficiency in English significantly supports the application of AI content in international contexts.

Upcoming dates

• 2026-11-15T23:00:00.000Z · 2026-12-24T23:00:00.000Z · Nürnberg, Mittelfranken · Combined Learning
• 2026-11-15T23:00:00.000Z · 2026-12-24T23:00:00.000Z · Wiesbaden · Combined Learning
• 2026-11-15T23:00:00.000Z · 2026-12-24T23:00:00.000Z · München · Combined Learning
• 2026-11-15T23:00:00.000Z · 2026-12-24T23:00:00.000Z · Stuttgart · Combined Learning
• 2026-11-15T23:00:00.000Z · 2026-12-24T23:00:00.000Z · München · Combined Learning

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